Triple

T36320154
Position Surface form Disambiguated ID Type / Status
Subject The Big Trees E894307 entity
Predicate alternateMediumStatus P185404 FINISHED
Object public domain in the United States LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: public domain in the United States | Statement: [The Big Trees, alternateMediumStatus, public domain in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alternateMediumStatus
Context triple: [The Big Trees, alternateMediumStatus, public domain in the United States]
  • A. statusChange
    Indicates a transition in an entity’s state or condition from one status to another over time.
  • B. hasAlternativeMedium
    Indicates that an entity is available, expressed, or presented in another medium or format as an alternative to its primary one.
  • C. usesActiveMedium
    Indicates that an entity performs an action or operates by employing an active medium as the means or channel for that action or process.
  • D. alternateMode
    Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
  • E. canonicalMedium
    Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bcccd7988190aa5c931ff347d33c completed May 3, 2026, 9:23 p.m.
PDg Predicate description generation batch_69f7be9b9ab481908328e0e8d8ac73d4 completed May 3, 2026, 9:31 p.m.
Created at: May 3, 2026, 4:09 p.m.